The Elephant in the Server Room
Every seasoned tech leader has been there—staring down an aging, monolithic codebase that nobody wants to touch. It’s slow. It’s brittle. And worst of all, it’s holding your company back.
Refactoring legacy systems has always been a necessary evil, but with AI, the game has changed. The first episode of TEQ Shift, our new podcast, dives headfirst into AI-assisted refactoring—why it’s essential, how it works, and what the future holds.
CREATEQ's COO Oliver Gaussmann and CCO Marc Gasser break it down:
- 80% of IT budgets are spent on maintaining old systems rather than innovating.
- Compliance and security risks are growing—especially in regulated industries like finance and aviation.
- Skilled engineers don’t want to babysit old tech—they want to build the future.
So, how does AI turn this around?
AI as Your Senior Engineer (That Never Sleeps)
Traditional refactoring is like translating a novel, page by page, from COBOL to Java. AI, however, takes a different approach—it understands the language of your systems, recognises patterns, and rewrites the code intelligently.
With custom-trained Large Language Models (LLMs), AI can:
âś… Identify outdated dependencies and modernise them automatically
âś… Migrate monolithic applications into modular, API-first architectures
âś… Automate documentation and bug detection to improve security and compliance
âś… Speed up development by 20-50% within months
This isn’t just about saving time—it’s about unlocking new possibilities. AI learns your company’s codebase, improving with each iteration, making future development faster, smarter, and more scalable.
From Legacy Lock-In to AI-Led Innovation
For those wondering, “Where do we start?”—it begins with a clear battle plan.
CREATEQ’s approach starts with deep system analysis, mapping pain points, and designing an AI-powered roadmap. The goal? Identify quick wins while laying the foundation for long-term transformation.
As Oliver puts it:
Face the challenge. Don’t look away. AI-assisted refactoring isn’t just an option—it’s an imperative.
If your dev team spends more time fixing than building, it’s time to rethink your strategy. AI isn’t here to replace engineers—it’s here to elevate them.
